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Titlebook: Intelligent Systems and Data Science; First International Nguyen Thai-Nghe,Thanh-Nghi Do,Peter Haddawy Conference proceedings 2024 The Edi

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A Signal-Processing-Assisted Instrumentation System for Nondestructive Characterization of Semicondustraightforward peak estimation instead of parametric model fitting from the measured frequency response of the MISM structure to a square wave, which improves the reproducibility of gap control and stability of resistivity evaluation. The system performance was examined with commercial 6-inch . GaA
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MR-Unet: Modified Recurrent Unet for Medical Image Segmentationdical Segmentation Decathlon Challenge 2018 datasets, and skin lesion segmentation on dataset is supplied by the ISIC-2018 Challenge. The experimental results clearly demonstrate that our model not only achieves smaller size but also improves performance compared to existing models.
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Retrospective Analysis of a Large-Scale Archive of Ultrasonic Movies for Ischemic Diseases of Neonatformed essential tasks three to five times faster, while also providing new capabilities that the conventional system lacks. Overall, the proposed system confirmed a significant improvement of efficiency in retrospective analysis compared with the conventional process flow and the retrospective anal
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Building a Health Monitoring Systeme heart rate prediction module is trained on six popular deep learning models. The experimental results show that all models have the mean absolute error (MAE) in the range of 3.4 to 4.2. The results of this study can be the basis for further studies to develop other health monitoring initiatives wi
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Bangla Social Media Cyberbullying Detection Using Deep Learninging models. We have used Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU), and Convolutional Neural Network in the proposed hybrid approach along with word embedding technique called fastText. We achieved an accuracy of 91.63% with the proposed model by using a publicly available dataset co
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